research
Generalised boundary conditions for hydrogen transport at crack tips
Dear iMechanicians,
I hope the present work is of interest to you. We present a new formulation for resolving the electrochemical-diffusion interface in hydrogen embrittlement modelling
E. Martínez-Pañeda, A. Díaz, L. Wright, A. Turnbull
Generalised boundary conditions for hydrogen transport at crack tips
Corrosion Science 173, 108698 (2020)
https://www.sciencedirect.com/science/article/pii/S0010938X20305345
Predicting effective fracture toughness of ZrB2-based ultra-high temperature ceramics by phase-field modeling
Open Access
A. Emdadi, J. Watts, W.G. Fahrenholtz, G.E. Hilmas, and M. Asle Zaeem. Predicting effective fracture toughness of ZrB2 based ultra-high temperature ceramics by phase-field modeling. Materials & Design 192 (2020) 108713 (11 pages).
A comprehensive review of finite element modeling of orthogonal machining process: chip formation and surface integrity predictions
For researchers and industrialists being active and/or interested in finite element modeling of machining operations and surface integrity:
EML Webinar by Prof. Robert Wood on June 3, 2020: The Mechanical Side of Artificial Intelligence
On the elastocaloric effect in CuAlBe shape memory alloys: A quantitative phase-field modeling approach
C. Cissé and M. Asle Zaeem. On the elastocaloric effects in CuAlBe shape memory alloys: A quantitative phase-field modeling approach. Computational Materials Science 183 (2020) 109808 (12 pages).
Mechanobiology predicts raft formations triggered by ligand-receptor activity across the cell membrane
Carotenuto A., Lunghi L., Piccolo V., Babaei M., Dayal K., Pugno N. M., Zingales M., Deseri L.*, Fraldi M. Mechanobiology predicts raft formations triggered by ligand-receptor activity across the cell membrane, Journal of the Mechanics and Physics of Solids 141 (2020) 103974 https://doi.org/10.1016/j.jmps.2020.103974
*Corresponding Author
SciANN: Scientific computations and physics-informed deep learning using artificial neural networks
Interested in deep learning, scientific computations, solution, and inversion methods for PDE?
Check out the preprint at:
https://www.researchgate.net/publication/341478559_SciANN_A_Keras_wrapp…
Some problems are shared in our GitHub repository on how to use sciann for inversion and forward solution of:
Announcing the Inaugural CMES Young Researcher Award
Announcing the Inaugural CMES Young Researcher Award
The first ever Computer Modeling in Engineering and Science Young Researcher Award recognizes outstanding research in computer modeling and simulation by a 2020 Computer Modeling in Engineering and Science author or coauthors.
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